Consulting to find AI shortcuts
Look at an urgent problem from a new technical and domain perspective before committing to a build path.
Focused collaborative innovation
AI Centres of Excellence.
Focus deep technical and domain expertise on climate action, equality and inclusivity, and information integrity.
Initiative origin
Where we cannot afford to wait anymore.
Omdena focused its project experience on urgent areas where every minute counts. The centres bring technical experts and organizations together to reduce uncertainty and find a practical route forward.
They address pressing issues through collaborative research, engineering, adaptation, and knowledge transfer rather than a one-off technology handoff.
Discuss an urgent problemOur centres
Three areas of concern with dedicated records and experts.
9 source-recorded experts
AI for Climate Action
AI-driven strategies enable us to act fast and effectively against climate change, securing our planet's future.
6 source-recorded expertsAI for Equality and Inclusivity
By focusing on fairness, we aim to quickly remove barriers and build a more just and inclusive society.
5 source-recorded expertsAI for Information Integrity
By prioritizing truth and transparency, we fight to restore trust in information, building a more informed and ethical society.
Centre switcher
Choose a focus area to see its work and expertise.
More than a provider
Support before, during, and after solution delivery.
Solutions ready to be reapplied
Review established solution patterns that can be adapted and deployed against a related need.
Training for internal empowerment
Build the practical knowledge your team needs to continue solving problems and operating the result.
Partner perspectives
What organizations say about collaborative AI.
“Extremely promising project results, not just for Save the Children, but for the entire field of actors.”
“Collaborative AI enables robust AI solutions through sharing knowledge, perspectives, and promoting diversity and inclusion.”
“Leveraging AI prediction for our ambitious goals of developing next-generation immunotherapies.”
Centre experts
People with experience across the centre focus areas.
Gijs van den Dool
Senior Geospatial Data Scientist
France
Bondy: Using Satellite Imagery for Reforestation in Madagascar, WRI Latin - Identifying Economic Incentives for Forest and Landscape Restoration, ACET for Africa - Predicting Infrastructure Needs of Africa to Create Opportunities, Finz - Predict Climate and Geopolitical Risks for Financing Water and Energy Needs in West and Central Africa
Reid Falconer
Data Science and ML
Spain
Engie Factory Solar AI - Increasing Solar Energy Adoption Through Machine Learning Roof Detection
Anita Okoh
Technical Writer
Germany
Dryad - Building AI Model to Detect Forest Wood Fire through Sensor Data Analysis, DataCamp: Developing an AI-Driven Chatbot for Disaster Assistance and Emergency Relief
Erick Galinkin
AI Security Researcher
USA
WFP - Crop Classification - Fighting Hunger Through Machine Learning Based Crop Classification
Nishrin Kachwala
Technical Product Owner
USA
MangoSciences: Using AI to support affordability of oncology immunotherapy treatments, TrashOut - Fighting Illegal Dumping: Identifying Dumpsites to Contribute to a Cleaner World, WRI Climate Change - Leveraging Machine Learning to Minimize Climate Change Impacts, Reboot Rx - Cancer Treatment: Identifying Drugs to Repurpose, UNDP - Digital Divide: Analyzing the Role of Connectivity on Economic & Human Development, Techstars Energy Startup-Classifying Rooftops Through Neural Networks to Eliminate Energy Waste of Facilities, Dryad - Building AI Model to Detect Forest Wood Fire through Sensor Data Analysis, FoodTech - Preventing Food Waste by Building a Forecasting Model to Predict Sales of Fresh Food, Litha: NLP and Conversational AI for Compassionate AI Psychologist with Human-like Memory, MobileUurka: Democratizing Access to Maternal Care in Sub-Saharan Africa with Machine Learning
Aruna Sri Turlapati
Technical Lead
India
TrashOut - Fighting Illegal Dumping: Identifying Dumpsites to Contribute to a Cleaner World, WRI Climate Change - Leveraging Machine Learning to Minimize Climate Change Impacts, Weedbot - Detecting Weed to Reduce Costs & Environmental Footprint
Rosana de Oliveira Gomes
Senior Data Scientist
Austria
WFP - Disaster Response - AI for Disaster Response: Improving Emergency Management During Cyclones, AI for Peace PWG- Coronavirus: Using AI to Understand Policy Effects on the Economically Marginalized during Pandemics, TrashOut - Fighting Illegal Dumping: Identifying Dumpsites to Contribute to a Cleaner World, Save the Children - Preventing Online Violence Against Children, Need Energy - Increasing Clean energy Access in Africa, IRAP - Preventing Road Crashes and Saving Lives, Engie Factory Solar AI - Increasing Solar Energy Adoption Through Machine Learning Roof Detection, Retrolux-Building a Recommendation Engine for Energy Solutions to Increase Sustainability and Energy Efficiency in Buildings, WEO-Building an NLP tool to Improve Natural Disaster and Water Resource Management, RenewSenses - Helping People with Visual Impairment to Easily Use Buses through Computer Vision, Endangered Wildlife - Develop an AI System to Identify Ecosystem Services and Automate Data Collection for Endangered Species, Kanda - Building a 12-hour Rainfall Forecasting AI Model to Mitigate Climate Change Variability in West Africa, Consenz - Improve Driver Voice Assistance Using Machine Learning to Help Reduce Road Accidents, Ceretai - Using Computer Vision to Detect Ethnicity in News and Videos and Improve Ethnicity Awareness, BluePlanet- Using Computer Vision to Estimate Biomass of Fish for Sustainable Food Production, Save the Children: Deploying an Accurate Classifier to Stop Online Violence Against Children using NLP
Anju Mercian
Data Engineering Consultant
USA
Impact Hub Istanbul - Disaster Response: Improving the Aftermath Management of an Earthquake, Creedix - Unbanked - Machine Learning for Credit Scoring: Banking the unbanked!, WRI Climate Change - Leveraging Machine Learning to Minimize Climate Change Impacts, AI for Peace PWG- Coronavirus: Using AI to Understand Policy Effects on the Economically Marginalized during Pandemics, WRI Kenya - Understanding Land Ownership in Kenya to Help Restore Lands, Need Energy - Increasing Clean energy Access in Africa, Equilo-Building an Organisational Gender Equality Assessment Functionality Using Machine Learning
Deepali Bidwai
Machine Learning Engineer
USA
Bondy: Using Satellite Imagery for Reforestation in Madagascar, Agreed Earth: Developing an AI-Based System to Remotely Monitor Nitrogen-Flow in Farms in Real-Time, Finz - Predict Climate and Geopolitical Risks for Financing Water and Energy Needs in West and Central Africa, BigCodeGen: Predicting Short-Term Traffic Flow Congestion on Urban Motorway Networks, HOT: AI Assisted Collaborative Mapping Tool for Disaster Management, Brainpool - Drone Data and Environmental Sensor Read-out to Automate Plant Health Prediction and Drought Control, Nitrolytics: Determining the Water Retention Capacity of Naturally Fertilized Soil through Machine Learning, Glint Solar - Using AI to Identify Optimal Locations Spots for Floating Solar Installations, Azolla - Building regenerative farming solutions with AI enabling agricultural carbon markets, Tanzania Challenge: Tackling Deforestation in Tanzania with AI-A Mangrove-focused Pilot Project for National Carbon Monitoring, 1tFund - Quantifying the Impact of Forest Landscape Restoration Through Predictive Analytics, Dryad - Building AI Model to Detect Forest Wood Fire through Sensor Data Analysis, Kanda - Building a 12-hour Rainfall Forecasting AI Model to Mitigate Climate Change Variability in West Africa, HOT: Enhancing Global Mapping Through AI: A Collaborative Initiative with Humanitarian OpenStreetMap Team and Omdena